Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
More bugfixes to get a working copy (squashed)
Browse files
raft.py
CHANGED
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@@ -50,8 +50,8 @@ _LICENSE = ""
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# This gets all folders within the directory named `data`
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DATA_DIRS = next(os.walk('data'))[1]
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_URLs = {s: {'train': f"
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'test': f"
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class Raft(datasets.GeneratorBasedBuilder):
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@@ -73,18 +73,25 @@ class Raft(datasets.GeneratorBasedBuilder):
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# TODO: Load task jsons
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tasks =
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for sd in DATA_DIRS:
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with open(os.path.join('data', sd, 'task.json')) as f:
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task_data = json.load(f)
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tasks
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BUILDER_CONFIGS = [
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DEFAULT_CONFIG_NAME = "tai_safety_research" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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task = Raft.tasks[self.config.name]
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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data_columns = {col_name: datasets.Value("string") for col_name in
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@@ -92,7 +99,7 @@ class Raft(datasets.GeneratorBasedBuilder):
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label_columns = {}
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for label_name in task['label_columns']:
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labels = task['label_columns'][label_name]
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label_columns[label_name] = datasets.ClassLabel(len(labels), labels)
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# Merge dicts
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@@ -152,5 +159,5 @@ class Raft(datasets.GeneratorBasedBuilder):
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if id_ == 0: # First row is column names
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continue
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if split == "test":
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row += [""] * num_labels
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-
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# This gets all folders within the directory named `data`
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DATA_DIRS = next(os.walk('data'))[1]
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_URLs = {s: {'train': f"data/{s}/train.csv",
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'test': f"data/{s}/test_unlabeled.csv"} for s in DATA_DIRS}
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class Raft(datasets.GeneratorBasedBuilder):
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# TODO: Load task jsons
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tasks = {}
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for sd in DATA_DIRS:
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with open(os.path.join('data', sd, 'task.json')) as f:
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task_data = json.load(f)
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tasks[sd] = task_data
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BUILDER_CONFIGS = []
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for key in tasks:
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td = tasks[key]
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name = td['name']
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description = td['description']
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BUILDER_CONFIGS.append(datasets.BuilderConfig(name=name, version=VERSION,
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description=description))
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DEFAULT_CONFIG_NAME = "tai_safety_research" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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DEFAULT_LABEL_NAME = "Unlabeled"
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task = Raft.tasks[self.config.name]
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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data_columns = {col_name: datasets.Value("string") for col_name in
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label_columns = {}
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for label_name in task['label_columns']:
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labels = ["Unlabeled"] + task['label_columns'][label_name]
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label_columns[label_name] = datasets.ClassLabel(len(labels), labels)
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# Merge dicts
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if id_ == 0: # First row is column names
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continue
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if split == "test":
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row += ["Unlabeled"] * num_labels
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yield id_, {name: value for name, value in zip(column_names, row)}
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